- Temporal Model for 6-DoF VideoClip Relocalization

@inproceedings{ClarkTM,
  title={- Temporal Model for 6-DoF VideoClip Relocalization},
  author={Ronald Clark and Sen Wang and Andrew Markham and Niki Trigoni and Hongkai Wen}
}
Machine learning techniques, namely convolutional neural networks (CNN) and regression forests, have recently shown great promise in performing 6-DoF localization of monocular images. However, in most cases imagesequences, rather only single images, are readily available. To this extent, none of the proposed learning-based approaches exploit the valuable constraint of temporal smoothness, often leading to situations where the per-frame error is larger than the camera motion. In this paper we… CONTINUE READING
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